{"title":"技术图纸自动文件读取系统","authors":"Jenn-Kwei Tyan, M. Fang","doi":"10.1117/12.450719","DOIUrl":null,"url":null,"abstract":"The reading of technical drawings is a complex task for automatic document processing. In this paper we present a system for reading textual descriptions from technical drawings, which provides capabilities for converting paper-based documents into an electronic archiving database system. The proposed system consists of four major processing elements: form learning, form localization, optical character recognition (OCR), and result verification. The algorithms of each element are dedicated to solve the practical problems in reading technical drawing documents. Among them, form localization and OCR are the key processes for automation. Experimental results have shown the feasibility and efficiency of our approaches.","PeriodicalId":152377,"journal":{"name":"Document Recognition and Retrieval","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic document reading system for technical drawings\",\"authors\":\"Jenn-Kwei Tyan, M. Fang\",\"doi\":\"10.1117/12.450719\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The reading of technical drawings is a complex task for automatic document processing. In this paper we present a system for reading textual descriptions from technical drawings, which provides capabilities for converting paper-based documents into an electronic archiving database system. The proposed system consists of four major processing elements: form learning, form localization, optical character recognition (OCR), and result verification. The algorithms of each element are dedicated to solve the practical problems in reading technical drawing documents. Among them, form localization and OCR are the key processes for automation. Experimental results have shown the feasibility and efficiency of our approaches.\",\"PeriodicalId\":152377,\"journal\":{\"name\":\"Document Recognition and Retrieval\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Document Recognition and Retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.450719\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Document Recognition and Retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.450719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic document reading system for technical drawings
The reading of technical drawings is a complex task for automatic document processing. In this paper we present a system for reading textual descriptions from technical drawings, which provides capabilities for converting paper-based documents into an electronic archiving database system. The proposed system consists of four major processing elements: form learning, form localization, optical character recognition (OCR), and result verification. The algorithms of each element are dedicated to solve the practical problems in reading technical drawing documents. Among them, form localization and OCR are the key processes for automation. Experimental results have shown the feasibility and efficiency of our approaches.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
